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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 3248
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    Explanations

    terms related to communication channels or methods

    oai_token-act-pair · gpt-3.5-turbo

    references to communication systems and technologies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.74
    unts
    -0.71
    155
    -0.71
    jury
    -0.69
    price
    -0.68
    Stud
    -0.68
     Venice
    -0.65
    Enough
    -0.64
     Naples
    -0.64
    1950
    -0.64
    POSITIVE LOGITS
     communications
    1.26
    communications
    1.17
     communication
    1.05
     transmissions
    0.95
     Communications
    0.90
    communication
    0.89
     behavi
    0.89
    anooga
    0.89
     Communication
    0.87
    ettlement
    0.85
    Activations Density 0.011%

    No Known Activations